Outcomes
- Understand the Metaverse stack (XR, digital twins, AI, IoT, spatial computing, blockchain) in a business-ready way\
- Translate Industry 4.0 challenges into XR/Metaverse solutions using proven frameworks
- Design 3 high-value use cases and select the best one using a scoring matrix (impact, feasibility, ROI, risk)
- Build a pilot plan: scope, stakeholders, budget ranges, timeline, KPIs, and governance gates
- Identify risks (privacy, safety, ethics, cyber) and mitigation strategies for immersive deployments
- Experience and evaluate XR tools through guided labs and scenario walkthroughs
Target Group
- Training center clients (professionals, managers, educators, innovators, entrepreneurs)
- Digital transformation and innovation teams
- Government and corporate stakeholders exploring XR/AI/IoT adoption
- Universities and vocational institutes (faculty, lab managers, curriculum designers)
- Product teams and solution architects interested in immersive experiences
Contents
Module 1 — Metaverse Foundations (Business-first)
• Definitions & myths vs reality
• XR spectrum (AR/VR/MR) and when to use each
• The Metaverse value stack: devices → platforms → content → data → governance
• Global adoption indicators and why it matters now
Module 2 — Industry 4.0: The Scenario Lens
• Industry 4.0 pillars: IoT, AI, robotics, digital twins, additive manufacturing, cyber-physical systems
• Scenario thinking: signals, drivers, uncertainty, disruption patterns
• Mapping 4IR priorities to immersive opportunities
Module 3 — XR & Metaverse Use Cases Across Sectors
• Education & vocational training (simulations, labs, safety, collaborative learning)
• Healthcare (anatomy, surgery support, therapy, medical training)
• Defense & emergency response (mission rehearsal, incident command)
• Manufacturing & maintenance (remote expert, step-by-step guidance, digital twin ops)
• Smart cities & infrastructure (urban twins, command centers, citizen services)
• Retail, tourism, culture and customer experience (immersive storytelling & commerce)
Module 4 — Hands-on XR Labs (Practical Experiences)
• Guided device onboarding and XR safety
• Immersive scenario walkthroughs (multi-user where possible)
• Content creation overview (no-code / low-code) and rapid prototyping basics
• User experience (UX) fundamentals for XR: comfort, interaction, accessibility
Module 5 — ROI, KPIs & Risk Management for XR Programs
• KPI design for training & operations: time-to-competency, error rate, retention, compliance
• Value and ROI model: CAPEX/OPEX, cost avoidance, productivity, quality improvements
• Cybersecurity, privacy, ethics, data governance and safety considerations
Module 6 — Implementation Roadmap: Pilot → Scale
• Stakeholder model & change management
• Platform selection criteria (devices, content, LMS/LXP integration, management)
• Pilot blueprint: timeline, deliverables, acceptance criteria
• Scaling strategy: lab model, content library model, and operating model